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Monetary policy research using time series methods has been criticized for using more information than the Federal Reserve had available in setting policy. To quantify the role of this criticism, we propose a method to estimate a VAR with real-time data while accounting for the latent nature of...
Persistent link: https://www.econbiz.de/10014086926
negative. Then, we estimate local projections for a super- visory shock hitting banks' credit standards and propose a new …
Persistent link: https://www.econbiz.de/10012865060
The research work presented below addresses the possible concern of central bank independence through the development and application of econometric models. The complexity of the modelling has allowed a step further in corroborating that financial independence is not only linked to the...
Persistent link: https://www.econbiz.de/10014496228
parameters of structural vector autoregressive (SVAR) models. Economic theory is the primary source of such restrictions. However …
Persistent link: https://www.econbiz.de/10011771740
for economic analysis. This paper demonstrates how a VAR model with long run restrictions justified by economic theory can …
Persistent link: https://www.econbiz.de/10011584357
inadequate policy tools and theory from the interwar period, set the stage for the Great Inflation of the 1970s. The lessons from …
Persistent link: https://www.econbiz.de/10014024247
six-variable system supports time variation in US monetary policy shock identification. In the sample-dominating first … stimulus, features the liquidity effect, and is complemented by a pure term spread shock. Absent the specific monetary policy …
Persistent link: https://www.econbiz.de/10014422351
In this paper, we investigate the dynamic response of stock market volatility to changes in monetary policy. Using a vector autoregressive model, our findings reveal a significant and asymmetric response of stock returns and volatility to monetary policy shocks. Although the increase in the...
Persistent link: https://www.econbiz.de/10010395968
This paper investigates how the ordering of variables affects properties of the time-varying covariance matrix in the Cholesky multivariate stochastic volatility model.It establishes that systematically different dynamic restrictions are imposed whenthe ratio of volatilities is time-varying....
Persistent link: https://www.econbiz.de/10012250452
This paper investigates how the ordering of variables affects properties of the time-varying covariance matrix in the Cholesky multivariate stochastic volatility model. It establishes that systematically different dynamic restrictions are imposed when the ratio of volatilities is time-varying....
Persistent link: https://www.econbiz.de/10012424283